Poster Abstract: An Online Approach for Gait Recognition on Smart Glasses

被引:5
|
作者
Shen, Yiran [1 ]
Luo, Chengwen [2 ]
Xu, Weitao [3 ]
Hu, Wen [2 ]
机构
[1] Singapore MIT Alliance Res & Technol, Singapore, Singapore
[2] Univ New South Wales, Sch Comp Sci & Engn, Sydney, NSW 2052, Australia
[3] Univ Queensland, Sch Informat Technol & Elect Engn, Brisbane, Qld 4072, Australia
关键词
D O I
10.1145/2809695.2817878
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the fast development and increasingpopulationof the wearable devices involves in 1' life, the security of the privacy information oil those devices is attracting significant attentions. One of the possible solution is to enable the devices to recognise the real owner with authentication system. Biometrics recognition is popular used for authentication systems. The biometrics used including faces, fingerprints, gait cycles and etc. Using gait cycles as the criteria for identities recognition is superior than other biometrics as the gait information can be collected by the IMU sensors which are most popular embedded on portable devices and they cannot be reproduced by the invaders.-We propose, Securitas, the continuous authentication system exploits the information from INIU sensors on the smart glasses to distinguish different wearers.
引用
收藏
页码:389 / 390
页数:2
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